List of guest speakers at the Data Analytics Colloquium
M. C. Sunny Wong, Associate Dean for Graduate Studies, Hobby School of Public Affairs, Professor, Hobby School of Public Affairs
Sunny Wong is associate dean for graduate studies and professor in the Hobby School of Public Affairs at the University of Houston. Prior to his various roles at the Hobby School, Wong taught in the Department of Economics at the University of San Francisco. Wong also was an honorary instructor at the Essex Summer School in Social Science Data Analysis and Collection at the University of Essex in England. He has published research articles in academic journals such as American Journal of Political Science, World Development, Macroeconomic Dynamics, Economics Letters, Computational Economics, Economic Inquiry, Electoral Studies and Finance Research Letters. Wong has coauthored two books with Dean Jim Granato, The Role of Policymakers in Business Cycle Fluctuations and The Empirical Implications of Theoretical Models in Political Science — both published by Cambridge University Press.
Professor Thomas Scotto is Dean of Learning and Teaching in the College of Social Sciences at the University of Glasgow. As a Professor of Political Science, he publishes widely on the area of comparative public opinion, latent variable modelling, and foreign policy analysis. His recent articles appear in Personality and Individual Differences, the Australian Journal of International Affairs.
Tse-min Lin is Associate Professor of Government and Associate Director of the Center for Taiwan Studies at the University of Texas at Austin. A Ph.D. in Political Science from the University of Minnesota, Dr. Lin has taught or visited at State University of New York at Stony Brook, Duke University, Michigan State University, the Institute of Political Science at Academia Sinica, and National Taiwan University. His teaching and research interests cover methodology, formal theory, and American and comparative political behavior. He has published in American Journal of Political Science, American Political Science Review, Democratization, International Political Science Review, Issues & Studies, Journal of Democracy, Journal of Information Technology & Politics, Journal of Politics, Political Analysis, Political Research Quarterly, Public Choice, Review of Social Sciences, Social Science History, Taiwan Democracy Quarterly, Taiwan Journal of Democracy, World Politics, as well as in edited volumes.
Vito D’Orazio is an Associate Professor of Political Science at the University of Texas at Dallas. His research interests are at the intersection of conflict studies and computational methods, with a focus on conflict forecasting and machine learning. He has published over 20 articles in peer-reviewed journals and conference proceedings, and has been awarded grants by the National Science Foundation and the Defense Advanced Research Projects Agency. His work on conflict forecasting won the inaugural Violence Early Warning System competition for subnational conflict forecasting in Africa.
Won-ho Park is Professor of Political Science and International Relations and Director of Korean Social Science Data Archive at Seoul National University. He is also serving as Vice President of the Korean Association of Party Studies and as Commissioner of Korean National Election Survey Deliberation Commission. He graduated from the University of Michigan with a Ph.D. in political science and previously taught at the Department of Political Science at the University of Florida. His research interest is in voting behavior, research methods, comparative politics, and Korean politics. His recent publications include “Who Toes the Line? Mandate Type, Open-Primary Experience, and Party Defection in the Korean National Assembly.” (Korea Observer 2022); “The effect of incumbency in national and local elections: Evidence from South Korea” (Electoral Politics, 2018).
Zhiyong (Johnny) Zhang is a Professor in Quantitative Psychology at the University of Notre Dame. His research focuses on developing better statistical methods and software in the areas of education, health, management and psychology. He has conducted research in the areas of Bayesian methods, big data analysis, structural equation modeling, longitudinal data analysis, mediation analysis, and statistical computing and programming. His most recent research involves the development of new methods for social network and text analysis in the framework of structural equation modeling. He recently started the new Journal of Behavioral Data Science to bridge data science, data analytics, and quantitative methods in behavioral research.